diff --git a/tests/edi.3.9_annotation_workbook_annotated.tsv b/tests/edi.3.9_annotation_workbook_annotated.tsv new file mode 100644 index 0000000..416547e --- /dev/null +++ b/tests/edi.3.9_annotation_workbook_annotated.tsv @@ -0,0 +1,801 @@ +package_id url element element_id element_xpath context description subject predicate predicate_id object object_id author date comment +edi.3.9 https://portal.edirepository.org/nis/metadataviewer?packageid=edi.3.9 dataset ccbc2d88-fff7-471c-a123-4f30f533b707 /eml:eml/dataset edi.3.9 "The Santa Barbara Channel Marine Biodiversity Observation Network + (SBCMBON) tracks long-term patterns in species abundance and + diversity. This dataset contains cover of kelp forest sessile + invertebrates, understory macroalgae, and substrate types by + integrating data from four contributing projects working in the kelp + forests of the Santa Barbara Channel, USA. Divers collect data on + using either uniform point contact (UPC) or random point contact (RPC) + methods. + + + The four contributing projects are two research projects: The Santa + Barbara Coastal LTER (SBC LTER) and the Partnership for + Interdisciplinary Studies of Coastal Oceans (PISCO), the kelp forest + monitoring program of the Santa Barbara Channel National Park, and the + San Nicolas Island monitoring program supported by USGS. Together, + these projects have recorded data for more than 200 species at + approximately 100 sites on both the mainland coast and on the Santa + Barbara Channel Islands. Sampling began in 1982 and is ongoing. Data + were collected by human observation (divers using SCUBA) during + regular surveys. + + + Percent cover is recorded for taxa where individuals cannot be + counted. Cover can be calculated from the data here as the fraction of + total points at which the taxon was present x 100. With UPC and RPC + methods, multiple species can be recorded at any given point. The + total percent cover of all species combined using this method can + exceed 100%; however, the percent cover of any single species cannot + exceed 100%. See Methods for information on integration and data + processing. + + + MBON is funded by National Aeronautics and Space Administration + (NASA), Bureau of Ocean Energy Management (BOEM), and National Oceanic + and Atmospheric Administration (NOAA). + + + For users who are interested in using all or part of this integrated + datasets, please contact data owners to discuss your research + interests, data-related issues or any other questions. A recommended + citation for the data package is available from the download page. In + addition, any manuscript generated using this dataset is expected to + be sent to the data owners before publication so we can be sure the + data is used in the proper context and methods are reported + accurately: + + + Santa Barbara Coastal LTER (LTER): + + + Dan Reed dan.reed@lifesci.ucsb.edu + + + Robert Miller miller@msi.ucsb.edu + + + Partnership for Interdisciplinary Studies of Coastal Oceans (PISCO): + + + Jenn Caselle caselle@ucsb.edu + + + Kelp forest monitoring (KFM): + + + David Kushner david_kushner@nps.gov + + + Joshua Sprague joshua_sprague@nps.gov + + + San Nicolas Island monitoring (SNI): + + + Kevin Lafferty Klafferty@usgs.gov + + + Mike Kenner mkenner@ucsc.edu Population Abundance BasisofRecord: HumanObservation Occurrence: OrganismQuantity Taxon: ScientificName algae invertebrate random point contact Santa Barbara Channel Marine BON uniform point contact" dataset is about http://purl.obolibrary.org/obo/IAO_0000136 channel http://purl.obolibrary.org/obo/ENVO_03000117 BioPortal Annotator 2024-08-29 15:16:39.742586 +edi.3.9 https://portal.edirepository.org/nis/metadataviewer?packageid=edi.3.9 dataTable 74397dfa-151e-4eb8-818b-c9d63ead8272 /eml:eml/dataset/dataTable dataset SBCMBON kelp forest integrated benthic cover biological survey SBCMBON_kelp_forest_integrated_benthic_cover_20210120.csv +edi.3.9 https://portal.edirepository.org/nis/metadataviewer?packageid=edi.3.9 attribute 6a2d4c50-e984-4dc0-91b5-4dd5a5ab989f /eml:eml/dataset/dataTable/attributeList/attribute[1] SBCMBON_kelp_forest_integrated_benthic_cover_20210120.csv Source project for this data data_source contains measurements of type http://ecoinformatics.org/oboe/oboe.1.2/oboe-core.owl#containsMeasurementsOfType +edi.3.9 https://portal.edirepository.org/nis/metadataviewer?packageid=edi.3.9 attribute 874b9da5-7494-44ef-ba52-149220062520 /eml:eml/dataset/dataTable/attributeList/attribute[2] SBCMBON_kelp_forest_integrated_benthic_cover_20210120.csv Sampling method sample_method contains measurements of type http://ecoinformatics.org/oboe/oboe.1.2/oboe-core.owl#containsMeasurementsOfType +edi.3.9 https://portal.edirepository.org/nis/metadataviewer?packageid=edi.3.9 attribute d2e4f6af-b556-4a0a-97e8-67a551590a92 /eml:eml/dataset/dataTable/attributeList/attribute[3] SBCMBON_kelp_forest_integrated_benthic_cover_20210120.csv Date of survey date contains measurements of type http://ecoinformatics.org/oboe/oboe.1.2/oboe-core.owl#containsMeasurementsOfType date http://purl.dataone.org/odo/ECSO_00002051 BioPortal Annotator 2024-08-29 15:16:42.526561 +edi.3.9 https://portal.edirepository.org/nis/metadataviewer?packageid=edi.3.9 attribute f5304e0a-caa5-4f1d-b686-039722d3cda3 /eml:eml/dataset/dataTable/attributeList/attribute[4] SBCMBON_kelp_forest_integrated_benthic_cover_20210120.csv ID of a site, assigned by each project site_id contains measurements of type http://ecoinformatics.org/oboe/oboe.1.2/oboe-core.owl#containsMeasurementsOfType +edi.3.9 https://portal.edirepository.org/nis/metadataviewer?packageid=edi.3.9 attribute b534c98f-3d20-46ba-8d2c-4c188418d48f /eml:eml/dataset/dataTable/attributeList/attribute[5] SBCMBON_kelp_forest_integrated_benthic_cover_20210120.csv Identifier for the subsite,one level below site subsite_id contains measurements of type http://ecoinformatics.org/oboe/oboe.1.2/oboe-core.owl#containsMeasurementsOfType +edi.3.9 https://portal.edirepository.org/nis/metadataviewer?packageid=edi.3.9 attribute 28d7b009-3d4b-4535-943b-647cfdaae22d /eml:eml/dataset/dataTable/attributeList/attribute[6] SBCMBON_kelp_forest_integrated_benthic_cover_20210120.csv Identifier for the transect transect_id contains measurements of type http://ecoinformatics.org/oboe/oboe.1.2/oboe-core.owl#containsMeasurementsOfType +edi.3.9 https://portal.edirepository.org/nis/metadataviewer?packageid=edi.3.9 attribute 5daece56-6088-44c1-8434-ec8dba727b80 /eml:eml/dataset/dataTable/attributeList/attribute[7] SBCMBON_kelp_forest_integrated_benthic_cover_20210120.csv Identifier for the replicate replicate_id contains measurements of type http://ecoinformatics.org/oboe/oboe.1.2/oboe-core.owl#containsMeasurementsOfType +edi.3.9 https://portal.edirepository.org/nis/metadataviewer?packageid=edi.3.9 attribute 790a95e1-22f2-4dac-8b36-7e0114f26bc4 /eml:eml/dataset/dataTable/attributeList/attribute[8] SBCMBON_kelp_forest_integrated_benthic_cover_20210120.csv Code assigned by SBC MBON for this taxon from this data source (project) proj_taxon_id contains measurements of type http://ecoinformatics.org/oboe/oboe.1.2/oboe-core.owl#containsMeasurementsOfType data source http://purl.dataone.org/odo/ECSO_00002744 BioPortal Annotator 2024-08-29 15:16:46.450903 +edi.3.9 https://portal.edirepository.org/nis/metadataviewer?packageid=edi.3.9 attribute 1370ae52-41da-49d1-92dd-d5077500cfd9 /eml:eml/dataset/dataTable/attributeList/attribute[9] SBCMBON_kelp_forest_integrated_benthic_cover_20210120.csv Number of total points counted on a UPC or RPC survey points contains measurements of type http://ecoinformatics.org/oboe/oboe.1.2/oboe-core.owl#containsMeasurementsOfType +edi.3.9 https://portal.edirepository.org/nis/metadataviewer?packageid=edi.3.9 attribute d9ac0022-c157-416d-9f93-509f629273a1 /eml:eml/dataset/dataTable/attributeList/attribute[10] SBCMBON_kelp_forest_integrated_benthic_cover_20210120.csv Number of organisms counted count contains measurements of type http://ecoinformatics.org/oboe/oboe.1.2/oboe-core.owl#containsMeasurementsOfType +edi.3.9 https://portal.edirepository.org/nis/metadataviewer?packageid=edi.3.9 attribute 7de66f26-b649-459f-ad93-122d7eda3b1b /eml:eml/dataset/dataTable/attributeList/attribute[11] SBCMBON_kelp_forest_integrated_benthic_cover_20210120.csv Taxon code assigned by an authoritative source auth_taxon_id contains measurements of type http://ecoinformatics.org/oboe/oboe.1.2/oboe-core.owl#containsMeasurementsOfType taxon code http://purl.dataone.org/odo/ECSO_00002608 BioPortal Annotator 2024-08-29 15:16:48.821489 +edi.3.9 https://portal.edirepository.org/nis/metadataviewer?packageid=edi.3.9 attribute f8eb86e2-f02a-4ff9-bd9a-c0b810c312db /eml:eml/dataset/dataTable/attributeList/attribute[12] SBCMBON_kelp_forest_integrated_benthic_cover_20210120.csv Name of the athority or registry assigning the Authoritative Taxon Code auth_name contains measurements of type http://ecoinformatics.org/oboe/oboe.1.2/oboe-core.owl#containsMeasurementsOfType Name http://purl.dataone.org/odo/ECSO_00001193 BioPortal Annotator 2024-08-29 15:16:49.924972 +edi.3.9 https://portal.edirepository.org/nis/metadataviewer?packageid=edi.3.9 attribute 686a51da-c990-45fe-a8bb-94fc5e52d41b /eml:eml/dataset/dataTable/attributeList/attribute[13] SBCMBON_kelp_forest_integrated_benthic_cover_20210120.csv Taxon name, usually species binomial or other taxon name taxon_name contains measurements of type http://ecoinformatics.org/oboe/oboe.1.2/oboe-core.owl#containsMeasurementsOfType Name http://purl.dataone.org/odo/ECSO_00001193 BioPortal Annotator 2024-08-29 15:16:51.246302 +edi.3.9 https://portal.edirepository.org/nis/metadataviewer?packageid=edi.3.9 attribute 65cbc590-943a-4656-824b-e449b28cca01 /eml:eml/dataset/dataTable/attributeList/attribute[14] SBCMBON_kelp_forest_integrated_benthic_cover_20210120.csv The site, as named by each project site_name contains measurements of type http://ecoinformatics.org/oboe/oboe.1.2/oboe-core.owl#containsMeasurementsOfType +edi.3.9 https://portal.edirepository.org/nis/metadataviewer?packageid=edi.3.9 attribute 93fa3786-fde3-453e-8dd8-85f892ce6191 /eml:eml/dataset/dataTable/attributeList/attribute[15] SBCMBON_kelp_forest_integrated_benthic_cover_20210120.csv Survey region within a site subsite_name contains measurements of type http://ecoinformatics.org/oboe/oboe.1.2/oboe-core.owl#containsMeasurementsOfType +edi.3.9 https://portal.edirepository.org/nis/metadataviewer?packageid=edi.3.9 attribute 3bc6f4fc-40c1-47c5-96c7-5a6b2b6d649b /eml:eml/dataset/dataTable/attributeList/attribute[16] SBCMBON_kelp_forest_integrated_benthic_cover_20210120.csv Site latitude latitude contains measurements of type http://ecoinformatics.org/oboe/oboe.1.2/oboe-core.owl#containsMeasurementsOfType +edi.3.9 https://portal.edirepository.org/nis/metadataviewer?packageid=edi.3.9 attribute 18301dfd-766b-43d8-ae27-31ae32cd4828 /eml:eml/dataset/dataTable/attributeList/attribute[17] SBCMBON_kelp_forest_integrated_benthic_cover_20210120.csv Site longitude longitude contains measurements of type http://ecoinformatics.org/oboe/oboe.1.2/oboe-core.owl#containsMeasurementsOfType +edi.3.9 https://portal.edirepository.org/nis/metadataviewer?packageid=edi.3.9 dataset ccbc2d88-fff7-471c-a123-4f30f533b707 /eml:eml/dataset edi.3.9 "The Santa Barbara Channel Marine Biodiversity Observation Network + (SBCMBON) tracks long-term patterns in species abundance and + diversity. This dataset contains cover of kelp forest sessile + invertebrates, understory macroalgae, and substrate types by + integrating data from four contributing projects working in the kelp + forests of the Santa Barbara Channel, USA. Divers collect data on + using either uniform point contact (UPC) or random point contact (RPC) + methods. + + + The four contributing projects are two research projects: The Santa + Barbara Coastal LTER (SBC LTER) and the Partnership for + Interdisciplinary Studies of Coastal Oceans (PISCO), the kelp forest + monitoring program of the Santa Barbara Channel National Park, and the + San Nicolas Island monitoring program supported by USGS. Together, + these projects have recorded data for more than 200 species at + approximately 100 sites on both the mainland coast and on the Santa + Barbara Channel Islands. Sampling began in 1982 and is ongoing. Data + were collected by human observation (divers using SCUBA) during + regular surveys. + + + Percent cover is recorded for taxa where individuals cannot be + counted. Cover can be calculated from the data here as the fraction of + total points at which the taxon was present x 100. With UPC and RPC + methods, multiple species can be recorded at any given point. The + total percent cover of all species combined using this method can + exceed 100%; however, the percent cover of any single species cannot + exceed 100%. See Methods for information on integration and data + processing. + + + MBON is funded by National Aeronautics and Space Administration + (NASA), Bureau of Ocean Energy Management (BOEM), and National Oceanic + and Atmospheric Administration (NOAA). + + + For users who are interested in using all or part of this integrated + datasets, please contact data owners to discuss your research + interests, data-related issues or any other questions. A recommended + citation for the data package is available from the download page. In + addition, any manuscript generated using this dataset is expected to + be sent to the data owners before publication so we can be sure the + data is used in the proper context and methods are reported + accurately: + + + Santa Barbara Coastal LTER (LTER): + + + Dan Reed dan.reed@lifesci.ucsb.edu + + + Robert Miller miller@msi.ucsb.edu + + + Partnership for Interdisciplinary Studies of Coastal Oceans (PISCO): + + + Jenn Caselle caselle@ucsb.edu + + + Kelp forest monitoring (KFM): + + + David Kushner david_kushner@nps.gov + + + Joshua Sprague joshua_sprague@nps.gov + + + San Nicolas Island monitoring (SNI): + + + Kevin Lafferty Klafferty@usgs.gov + + + Mike Kenner mkenner@ucsc.edu Population Abundance BasisofRecord: HumanObservation Occurrence: OrganismQuantity Taxon: ScientificName algae invertebrate random point contact Santa Barbara Channel Marine BON uniform point contact" dataset is about http://purl.obolibrary.org/obo/IAO_0000136 kelp forest http://purl.obolibrary.org/obo/ENVO_01000058 BioPortal Annotator 2024-08-29 15:16:39.744541 +edi.3.9 https://portal.edirepository.org/nis/metadataviewer?packageid=edi.3.9 dataset ccbc2d88-fff7-471c-a123-4f30f533b707 /eml:eml/dataset edi.3.9 "The Santa Barbara Channel Marine Biodiversity Observation Network + (SBCMBON) tracks long-term patterns in species abundance and + diversity. This dataset contains cover of kelp forest sessile + invertebrates, understory macroalgae, and substrate types by + integrating data from four contributing projects working in the kelp + forests of the Santa Barbara Channel, USA. Divers collect data on + using either uniform point contact (UPC) or random point contact (RPC) + methods. + + + The four contributing projects are two research projects: The Santa + Barbara Coastal LTER (SBC LTER) and the Partnership for + Interdisciplinary Studies of Coastal Oceans (PISCO), the kelp forest + monitoring program of the Santa Barbara Channel National Park, and the + San Nicolas Island monitoring program supported by USGS. Together, + these projects have recorded data for more than 200 species at + approximately 100 sites on both the mainland coast and on the Santa + Barbara Channel Islands. Sampling began in 1982 and is ongoing. Data + were collected by human observation (divers using SCUBA) during + regular surveys. + + + Percent cover is recorded for taxa where individuals cannot be + counted. Cover can be calculated from the data here as the fraction of + total points at which the taxon was present x 100. With UPC and RPC + methods, multiple species can be recorded at any given point. The + total percent cover of all species combined using this method can + exceed 100%; however, the percent cover of any single species cannot + exceed 100%. See Methods for information on integration and data + processing. + + + MBON is funded by National Aeronautics and Space Administration + (NASA), Bureau of Ocean Energy Management (BOEM), and National Oceanic + and Atmospheric Administration (NOAA). + + + For users who are interested in using all or part of this integrated + datasets, please contact data owners to discuss your research + interests, data-related issues or any other questions. A recommended + citation for the data package is available from the download page. In + addition, any manuscript generated using this dataset is expected to + be sent to the data owners before publication so we can be sure the + data is used in the proper context and methods are reported + accurately: + + + Santa Barbara Coastal LTER (LTER): + + + Dan Reed dan.reed@lifesci.ucsb.edu + + + Robert Miller miller@msi.ucsb.edu + + + Partnership for Interdisciplinary Studies of Coastal Oceans (PISCO): + + + Jenn Caselle caselle@ucsb.edu + + + Kelp forest monitoring (KFM): + + + David Kushner david_kushner@nps.gov + + + Joshua Sprague joshua_sprague@nps.gov + + + San Nicolas Island monitoring (SNI): + + + Kevin Lafferty Klafferty@usgs.gov + + + Mike Kenner mkenner@ucsc.edu Population Abundance BasisofRecord: HumanObservation Occurrence: OrganismQuantity Taxon: ScientificName algae invertebrate random point contact Santa Barbara Channel Marine BON uniform point contact" dataset is about http://purl.obolibrary.org/obo/IAO_0000136 understory http://purl.obolibrary.org/obo/ENVO_01000335 BioPortal Annotator 2024-08-29 15:16:39.745649 +edi.3.9 https://portal.edirepository.org/nis/metadataviewer?packageid=edi.3.9 dataset ccbc2d88-fff7-471c-a123-4f30f533b707 /eml:eml/dataset edi.3.9 "The Santa Barbara Channel Marine Biodiversity Observation Network + (SBCMBON) tracks long-term patterns in species abundance and + diversity. This dataset contains cover of kelp forest sessile + invertebrates, understory macroalgae, and substrate types by + integrating data from four contributing projects working in the kelp + forests of the Santa Barbara Channel, USA. Divers collect data on + using either uniform point contact (UPC) or random point contact (RPC) + methods. + + + The four contributing projects are two research projects: The Santa + Barbara Coastal LTER (SBC LTER) and the Partnership for + Interdisciplinary Studies of Coastal Oceans (PISCO), the kelp forest + monitoring program of the Santa Barbara Channel National Park, and the + San Nicolas Island monitoring program supported by USGS. Together, + these projects have recorded data for more than 200 species at + approximately 100 sites on both the mainland coast and on the Santa + Barbara Channel Islands. Sampling began in 1982 and is ongoing. Data + were collected by human observation (divers using SCUBA) during + regular surveys. + + + Percent cover is recorded for taxa where individuals cannot be + counted. Cover can be calculated from the data here as the fraction of + total points at which the taxon was present x 100. With UPC and RPC + methods, multiple species can be recorded at any given point. The + total percent cover of all species combined using this method can + exceed 100%; however, the percent cover of any single species cannot + exceed 100%. See Methods for information on integration and data + processing. + + + MBON is funded by National Aeronautics and Space Administration + (NASA), Bureau of Ocean Energy Management (BOEM), and National Oceanic + and Atmospheric Administration (NOAA). + + + For users who are interested in using all or part of this integrated + datasets, please contact data owners to discuss your research + interests, data-related issues or any other questions. A recommended + citation for the data package is available from the download page. In + addition, any manuscript generated using this dataset is expected to + be sent to the data owners before publication so we can be sure the + data is used in the proper context and methods are reported + accurately: + + + Santa Barbara Coastal LTER (LTER): + + + Dan Reed dan.reed@lifesci.ucsb.edu + + + Robert Miller miller@msi.ucsb.edu + + + Partnership for Interdisciplinary Studies of Coastal Oceans (PISCO): + + + Jenn Caselle caselle@ucsb.edu + + + Kelp forest monitoring (KFM): + + + David Kushner david_kushner@nps.gov + + + Joshua Sprague joshua_sprague@nps.gov + + + San Nicolas Island monitoring (SNI): + + + Kevin Lafferty Klafferty@usgs.gov + + + Mike Kenner mkenner@ucsc.edu Population Abundance BasisofRecord: HumanObservation Occurrence: OrganismQuantity Taxon: ScientificName algae invertebrate random point contact Santa Barbara Channel Marine BON uniform point contact" dataset is about http://purl.obolibrary.org/obo/IAO_0000136 park http://purl.obolibrary.org/obo/ENVO_00000562 BioPortal Annotator 2024-08-29 15:16:39.751203 +edi.3.9 https://portal.edirepository.org/nis/metadataviewer?packageid=edi.3.9 dataset ccbc2d88-fff7-471c-a123-4f30f533b707 /eml:eml/dataset edi.3.9 "The Santa Barbara Channel Marine Biodiversity Observation Network + (SBCMBON) tracks long-term patterns in species abundance and + diversity. This dataset contains cover of kelp forest sessile + invertebrates, understory macroalgae, and substrate types by + integrating data from four contributing projects working in the kelp + forests of the Santa Barbara Channel, USA. Divers collect data on + using either uniform point contact (UPC) or random point contact (RPC) + methods. + + + The four contributing projects are two research projects: The Santa + Barbara Coastal LTER (SBC LTER) and the Partnership for + Interdisciplinary Studies of Coastal Oceans (PISCO), the kelp forest + monitoring program of the Santa Barbara Channel National Park, and the + San Nicolas Island monitoring program supported by USGS. Together, + these projects have recorded data for more than 200 species at + approximately 100 sites on both the mainland coast and on the Santa + Barbara Channel Islands. Sampling began in 1982 and is ongoing. Data + were collected by human observation (divers using SCUBA) during + regular surveys. + + + Percent cover is recorded for taxa where individuals cannot be + counted. Cover can be calculated from the data here as the fraction of + total points at which the taxon was present x 100. With UPC and RPC + methods, multiple species can be recorded at any given point. The + total percent cover of all species combined using this method can + exceed 100%; however, the percent cover of any single species cannot + exceed 100%. See Methods for information on integration and data + processing. + + + MBON is funded by National Aeronautics and Space Administration + (NASA), Bureau of Ocean Energy Management (BOEM), and National Oceanic + and Atmospheric Administration (NOAA). + + + For users who are interested in using all or part of this integrated + datasets, please contact data owners to discuss your research + interests, data-related issues or any other questions. A recommended + citation for the data package is available from the download page. In + addition, any manuscript generated using this dataset is expected to + be sent to the data owners before publication so we can be sure the + data is used in the proper context and methods are reported + accurately: + + + Santa Barbara Coastal LTER (LTER): + + + Dan Reed dan.reed@lifesci.ucsb.edu + + + Robert Miller miller@msi.ucsb.edu + + + Partnership for Interdisciplinary Studies of Coastal Oceans (PISCO): + + + Jenn Caselle caselle@ucsb.edu + + + Kelp forest monitoring (KFM): + + + David Kushner david_kushner@nps.gov + + + Joshua Sprague joshua_sprague@nps.gov + + + San Nicolas Island monitoring (SNI): + + + Kevin Lafferty Klafferty@usgs.gov + + + Mike Kenner mkenner@ucsc.edu Population Abundance BasisofRecord: HumanObservation Occurrence: OrganismQuantity Taxon: ScientificName algae invertebrate random point contact Santa Barbara Channel Marine BON uniform point contact" dataset is about http://purl.obolibrary.org/obo/IAO_0000136 island http://purl.obolibrary.org/obo/ENVO_00000098 BioPortal Annotator 2024-08-29 15:16:39.753826 +edi.3.9 https://portal.edirepository.org/nis/metadataviewer?packageid=edi.3.9 dataset ccbc2d88-fff7-471c-a123-4f30f533b707 /eml:eml/dataset edi.3.9 "The Santa Barbara Channel Marine Biodiversity Observation Network + (SBCMBON) tracks long-term patterns in species abundance and + diversity. This dataset contains cover of kelp forest sessile + invertebrates, understory macroalgae, and substrate types by + integrating data from four contributing projects working in the kelp + forests of the Santa Barbara Channel, USA. Divers collect data on + using either uniform point contact (UPC) or random point contact (RPC) + methods. + + + The four contributing projects are two research projects: The Santa + Barbara Coastal LTER (SBC LTER) and the Partnership for + Interdisciplinary Studies of Coastal Oceans (PISCO), the kelp forest + monitoring program of the Santa Barbara Channel National Park, and the + San Nicolas Island monitoring program supported by USGS. Together, + these projects have recorded data for more than 200 species at + approximately 100 sites on both the mainland coast and on the Santa + Barbara Channel Islands. Sampling began in 1982 and is ongoing. Data + were collected by human observation (divers using SCUBA) during + regular surveys. + + + Percent cover is recorded for taxa where individuals cannot be + counted. Cover can be calculated from the data here as the fraction of + total points at which the taxon was present x 100. With UPC and RPC + methods, multiple species can be recorded at any given point. The + total percent cover of all species combined using this method can + exceed 100%; however, the percent cover of any single species cannot + exceed 100%. See Methods for information on integration and data + processing. + + + MBON is funded by National Aeronautics and Space Administration + (NASA), Bureau of Ocean Energy Management (BOEM), and National Oceanic + and Atmospheric Administration (NOAA). + + + For users who are interested in using all or part of this integrated + datasets, please contact data owners to discuss your research + interests, data-related issues or any other questions. A recommended + citation for the data package is available from the download page. In + addition, any manuscript generated using this dataset is expected to + be sent to the data owners before publication so we can be sure the + data is used in the proper context and methods are reported + accurately: + + + Santa Barbara Coastal LTER (LTER): + + + Dan Reed dan.reed@lifesci.ucsb.edu + + + Robert Miller miller@msi.ucsb.edu + + + Partnership for Interdisciplinary Studies of Coastal Oceans (PISCO): + + + Jenn Caselle caselle@ucsb.edu + + + Kelp forest monitoring (KFM): + + + David Kushner david_kushner@nps.gov + + + Joshua Sprague joshua_sprague@nps.gov + + + San Nicolas Island monitoring (SNI): + + + Kevin Lafferty Klafferty@usgs.gov + + + Mike Kenner mkenner@ucsc.edu Population Abundance BasisofRecord: HumanObservation Occurrence: OrganismQuantity Taxon: ScientificName algae invertebrate random point contact Santa Barbara Channel Marine BON uniform point contact" dataset is about http://purl.obolibrary.org/obo/IAO_0000136 coast http://purl.obolibrary.org/obo/ENVO_01000687 BioPortal Annotator 2024-08-29 15:16:39.756324 +edi.3.9 https://portal.edirepository.org/nis/metadataviewer?packageid=edi.3.9 dataset ccbc2d88-fff7-471c-a123-4f30f533b707 /eml:eml/dataset edi.3.9 "The Santa Barbara Channel Marine Biodiversity Observation Network + (SBCMBON) tracks long-term patterns in species abundance and + diversity. This dataset contains cover of kelp forest sessile + invertebrates, understory macroalgae, and substrate types by + integrating data from four contributing projects working in the kelp + forests of the Santa Barbara Channel, USA. Divers collect data on + using either uniform point contact (UPC) or random point contact (RPC) + methods. + + + The four contributing projects are two research projects: The Santa + Barbara Coastal LTER (SBC LTER) and the Partnership for + Interdisciplinary Studies of Coastal Oceans (PISCO), the kelp forest + monitoring program of the Santa Barbara Channel National Park, and the + San Nicolas Island monitoring program supported by USGS. Together, + these projects have recorded data for more than 200 species at + approximately 100 sites on both the mainland coast and on the Santa + Barbara Channel Islands. Sampling began in 1982 and is ongoing. Data + were collected by human observation (divers using SCUBA) during + regular surveys. + + + Percent cover is recorded for taxa where individuals cannot be + counted. Cover can be calculated from the data here as the fraction of + total points at which the taxon was present x 100. With UPC and RPC + methods, multiple species can be recorded at any given point. The + total percent cover of all species combined using this method can + exceed 100%; however, the percent cover of any single species cannot + exceed 100%. See Methods for information on integration and data + processing. + + + MBON is funded by National Aeronautics and Space Administration + (NASA), Bureau of Ocean Energy Management (BOEM), and National Oceanic + and Atmospheric Administration (NOAA). + + + For users who are interested in using all or part of this integrated + datasets, please contact data owners to discuss your research + interests, data-related issues or any other questions. A recommended + citation for the data package is available from the download page. In + addition, any manuscript generated using this dataset is expected to + be sent to the data owners before publication so we can be sure the + data is used in the proper context and methods are reported + accurately: + + + Santa Barbara Coastal LTER (LTER): + + + Dan Reed dan.reed@lifesci.ucsb.edu + + + Robert Miller miller@msi.ucsb.edu + + + Partnership for Interdisciplinary Studies of Coastal Oceans (PISCO): + + + Jenn Caselle caselle@ucsb.edu + + + Kelp forest monitoring (KFM): + + + David Kushner david_kushner@nps.gov + + + Joshua Sprague joshua_sprague@nps.gov + + + San Nicolas Island monitoring (SNI): + + + Kevin Lafferty Klafferty@usgs.gov + + + Mike Kenner mkenner@ucsc.edu Population Abundance BasisofRecord: HumanObservation Occurrence: OrganismQuantity Taxon: ScientificName algae invertebrate random point contact Santa Barbara Channel Marine BON uniform point contact" dataset is about http://purl.obolibrary.org/obo/IAO_0000136 present http://purl.obolibrary.org/obo/PATO_0000467 BioPortal Annotator 2024-08-29 15:16:39.758559 +edi.3.9 https://portal.edirepository.org/nis/metadataviewer?packageid=edi.3.9 dataset ccbc2d88-fff7-471c-a123-4f30f533b707 /eml:eml/dataset edi.3.9 "The Santa Barbara Channel Marine Biodiversity Observation Network + (SBCMBON) tracks long-term patterns in species abundance and + diversity. This dataset contains cover of kelp forest sessile + invertebrates, understory macroalgae, and substrate types by + integrating data from four contributing projects working in the kelp + forests of the Santa Barbara Channel, USA. Divers collect data on + using either uniform point contact (UPC) or random point contact (RPC) + methods. + + + The four contributing projects are two research projects: The Santa + Barbara Coastal LTER (SBC LTER) and the Partnership for + Interdisciplinary Studies of Coastal Oceans (PISCO), the kelp forest + monitoring program of the Santa Barbara Channel National Park, and the + San Nicolas Island monitoring program supported by USGS. Together, + these projects have recorded data for more than 200 species at + approximately 100 sites on both the mainland coast and on the Santa + Barbara Channel Islands. Sampling began in 1982 and is ongoing. Data + were collected by human observation (divers using SCUBA) during + regular surveys. + + + Percent cover is recorded for taxa where individuals cannot be + counted. Cover can be calculated from the data here as the fraction of + total points at which the taxon was present x 100. With UPC and RPC + methods, multiple species can be recorded at any given point. The + total percent cover of all species combined using this method can + exceed 100%; however, the percent cover of any single species cannot + exceed 100%. See Methods for information on integration and data + processing. + + + MBON is funded by National Aeronautics and Space Administration + (NASA), Bureau of Ocean Energy Management (BOEM), and National Oceanic + and Atmospheric Administration (NOAA). + + + For users who are interested in using all or part of this integrated + datasets, please contact data owners to discuss your research + interests, data-related issues or any other questions. A recommended + citation for the data package is available from the download page. In + addition, any manuscript generated using this dataset is expected to + be sent to the data owners before publication so we can be sure the + data is used in the proper context and methods are reported + accurately: + + + Santa Barbara Coastal LTER (LTER): + + + Dan Reed dan.reed@lifesci.ucsb.edu + + + Robert Miller miller@msi.ucsb.edu + + + Partnership for Interdisciplinary Studies of Coastal Oceans (PISCO): + + + Jenn Caselle caselle@ucsb.edu + + + Kelp forest monitoring (KFM): + + + David Kushner david_kushner@nps.gov + + + Joshua Sprague joshua_sprague@nps.gov + + + San Nicolas Island monitoring (SNI): + + + Kevin Lafferty Klafferty@usgs.gov + + + Mike Kenner mkenner@ucsc.edu Population Abundance BasisofRecord: HumanObservation Occurrence: OrganismQuantity Taxon: ScientificName algae invertebrate random point contact Santa Barbara Channel Marine BON uniform point contact" dataset is about http://purl.obolibrary.org/obo/IAO_0000136 ocean http://purl.obolibrary.org/obo/ENVO_00000015 BioPortal Annotator 2024-08-29 15:16:39.760898 +edi.3.9 https://portal.edirepository.org/nis/metadataviewer?packageid=edi.3.9 dataset ccbc2d88-fff7-471c-a123-4f30f533b707 /eml:eml/dataset edi.3.9 "The Santa Barbara Channel Marine Biodiversity Observation Network + (SBCMBON) tracks long-term patterns in species abundance and + diversity. This dataset contains cover of kelp forest sessile + invertebrates, understory macroalgae, and substrate types by + integrating data from four contributing projects working in the kelp + forests of the Santa Barbara Channel, USA. Divers collect data on + using either uniform point contact (UPC) or random point contact (RPC) + methods. + + + The four contributing projects are two research projects: The Santa + Barbara Coastal LTER (SBC LTER) and the Partnership for + Interdisciplinary Studies of Coastal Oceans (PISCO), the kelp forest + monitoring program of the Santa Barbara Channel National Park, and the + San Nicolas Island monitoring program supported by USGS. Together, + these projects have recorded data for more than 200 species at + approximately 100 sites on both the mainland coast and on the Santa + Barbara Channel Islands. Sampling began in 1982 and is ongoing. Data + were collected by human observation (divers using SCUBA) during + regular surveys. + + + Percent cover is recorded for taxa where individuals cannot be + counted. Cover can be calculated from the data here as the fraction of + total points at which the taxon was present x 100. With UPC and RPC + methods, multiple species can be recorded at any given point. The + total percent cover of all species combined using this method can + exceed 100%; however, the percent cover of any single species cannot + exceed 100%. See Methods for information on integration and data + processing. + + + MBON is funded by National Aeronautics and Space Administration + (NASA), Bureau of Ocean Energy Management (BOEM), and National Oceanic + and Atmospheric Administration (NOAA). + + + For users who are interested in using all or part of this integrated + datasets, please contact data owners to discuss your research + interests, data-related issues or any other questions. A recommended + citation for the data package is available from the download page. In + addition, any manuscript generated using this dataset is expected to + be sent to the data owners before publication so we can be sure the + data is used in the proper context and methods are reported + accurately: + + + Santa Barbara Coastal LTER (LTER): + + + Dan Reed dan.reed@lifesci.ucsb.edu + + + Robert Miller miller@msi.ucsb.edu + + + Partnership for Interdisciplinary Studies of Coastal Oceans (PISCO): + + + Jenn Caselle caselle@ucsb.edu + + + Kelp forest monitoring (KFM): + + + David Kushner david_kushner@nps.gov + + + Joshua Sprague joshua_sprague@nps.gov + + + San Nicolas Island monitoring (SNI): + + + Kevin Lafferty Klafferty@usgs.gov + + + Mike Kenner mkenner@ucsc.edu Population Abundance BasisofRecord: HumanObservation Occurrence: OrganismQuantity Taxon: ScientificName algae invertebrate random point contact Santa Barbara Channel Marine BON uniform point contact" dataset is about http://purl.obolibrary.org/obo/IAO_0000136 energy http://purl.obolibrary.org/obo/ENVO_2000015 BioPortal Annotator 2024-08-29 15:16:39.763357 +edi.3.9 https://portal.edirepository.org/nis/metadataviewer?packageid=edi.3.9 dataset ccbc2d88-fff7-471c-a123-4f30f533b707 /eml:eml/dataset edi.3.9 "The Santa Barbara Channel Marine Biodiversity Observation Network + (SBCMBON) tracks long-term patterns in species abundance and + diversity. This dataset contains cover of kelp forest sessile + invertebrates, understory macroalgae, and substrate types by + integrating data from four contributing projects working in the kelp + forests of the Santa Barbara Channel, USA. Divers collect data on + using either uniform point contact (UPC) or random point contact (RPC) + methods. + + + The four contributing projects are two research projects: The Santa + Barbara Coastal LTER (SBC LTER) and the Partnership for + Interdisciplinary Studies of Coastal Oceans (PISCO), the kelp forest + monitoring program of the Santa Barbara Channel National Park, and the + San Nicolas Island monitoring program supported by USGS. Together, + these projects have recorded data for more than 200 species at + approximately 100 sites on both the mainland coast and on the Santa + Barbara Channel Islands. Sampling began in 1982 and is ongoing. Data + were collected by human observation (divers using SCUBA) during + regular surveys. + + + Percent cover is recorded for taxa where individuals cannot be + counted. Cover can be calculated from the data here as the fraction of + total points at which the taxon was present x 100. With UPC and RPC + methods, multiple species can be recorded at any given point. The + total percent cover of all species combined using this method can + exceed 100%; however, the percent cover of any single species cannot + exceed 100%. See Methods for information on integration and data + processing. + + + MBON is funded by National Aeronautics and Space Administration + (NASA), Bureau of Ocean Energy Management (BOEM), and National Oceanic + and Atmospheric Administration (NOAA). + + + For users who are interested in using all or part of this integrated + datasets, please contact data owners to discuss your research + interests, data-related issues or any other questions. A recommended + citation for the data package is available from the download page. In + addition, any manuscript generated using this dataset is expected to + be sent to the data owners before publication so we can be sure the + data is used in the proper context and methods are reported + accurately: + + + Santa Barbara Coastal LTER (LTER): + + + Dan Reed dan.reed@lifesci.ucsb.edu + + + Robert Miller miller@msi.ucsb.edu + + + Partnership for Interdisciplinary Studies of Coastal Oceans (PISCO): + + + Jenn Caselle caselle@ucsb.edu + + + Kelp forest monitoring (KFM): + + + David Kushner david_kushner@nps.gov + + + Joshua Sprague joshua_sprague@nps.gov + + + San Nicolas Island monitoring (SNI): + + + Kevin Lafferty Klafferty@usgs.gov + + + Mike Kenner mkenner@ucsc.edu Population Abundance BasisofRecord: HumanObservation Occurrence: OrganismQuantity Taxon: ScientificName algae invertebrate random point contact Santa Barbara Channel Marine BON uniform point contact" dataset is about http://purl.obolibrary.org/obo/IAO_0000136 occurrence http://purl.obolibrary.org/obo/PATO_0000057 BioPortal Annotator 2024-08-29 15:16:39.765489 +edi.3.9 https://portal.edirepository.org/nis/metadataviewer?packageid=edi.3.9 attribute f8eb86e2-f02a-4ff9-bd9a-c0b810c312db /eml:eml/dataset/dataTable/attributeList/attribute[12] SBCMBON_kelp_forest_integrated_benthic_cover_20210120.csv Name of the athority or registry assigning the Authoritative Taxon Code auth_name contains measurements of type http://ecoinformatics.org/oboe/oboe.1.2/oboe-core.owl#containsMeasurementsOfType taxon code http://purl.dataone.org/odo/ECSO_00002608 BioPortal Annotator 2024-08-29 15:16:49.926724 +edi.3.9 https://portal.edirepository.org/nis/metadataviewer?packageid=edi.3.9 attribute 686a51da-c990-45fe-a8bb-94fc5e52d41b /eml:eml/dataset/dataTable/attributeList/attribute[13] SBCMBON_kelp_forest_integrated_benthic_cover_20210120.csv Taxon name, usually species binomial or other taxon name taxon_name contains measurements of type http://ecoinformatics.org/oboe/oboe.1.2/oboe-core.owl#containsMeasurementsOfType Species http://purl.dataone.org/odo/ECSO_00000313 BioPortal Annotator 2024-08-29 15:16:51.247773